In the literature, this area is extensively studied as two separate disciplines: Human-human interaction and Human-space interaction. Forming neighborhoods is found to be based on a single type or a combination of both interaction types and the objective is to determine a way for combining pedestrians and discovering their influence. The approaches that socially define the basis for neighborhoods [1]}, [2]}, [3]} proposed pooling techniques to effectively combine spatially proximate pedestrians, while [4]} proposed influence-ruled techniques to combine pedestrians that align their motion according to each other. However, even when modeling the spatial neighborhoods with the aid of context information, existing approaches generally involve hardcoded proxemic distance for outlining neighborhood boundaries as fixed grids. While these works achieve successful results, they fail to consider dynamic environments representation which may cause failure in cases that require adaptive neighborhoods or extra cues such as pedestrian visual sight span, to ascertain the conjunction between social motion and contextual restrictions.
